code: def test_input_tensor():
      hp = hp_module.HyperParameters()
      inputs = keras.Input(shape=INPUT_SHAPE_256)
      hypermodel = efficientnet.HyperEfficientNet(
          input_tensor=inputs, classes=10
      )
      model = hypermodel.build(hp)
      assert model.inputs == [inputs]
  
file_path: keras-tuner/keras_tuner/applications/efficientnet_test.py
imports: import numpy
  import pytest
  from keras_tuner.applications import efficientnet
  from keras_tuner.backend import config
  from keras_tuner.backend import keras
  from keras_tuner.engine import hypermodel
  from keras_tuner.engine import hyperparameters
label_desc: Use image node_id 4 for calling a global function with example usage: test_input_tensor() without return types